A Study on Personality in Designing Adaptive e-Learning Systems

The aim of this study is to understand how learners with different personality respond to an e-learning content structure, by which it will help to build an instance of personality traits in the design of an effective adaptive elearning system. An experiment performed to explore the relationship between the learner’s personality type and the learning sequence design. It revealed that a different personality type (i.e., extraverted vs. introverted) had a markedly different effect on learning performance.

• Type: Conference
• Year: 2008
• Where: ICALT
• Authors: Amal Al-Dujaily, Hokyoung Ryu
• Keywords: Effective Adaptive Elearning, ICALT 2008, Learner’s Personality Type, Machine Learning, Personality Type